Data Science Consultant

Bangalore, Karnataka, India

KPMG India

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Experience: 5-8 years

Overview:Ā We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series/optimization to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.

Key Responsibilities:

  • Develop and implement advanced machine learning models sin client projects
  • Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
  • Train robust machine learning model, time series/Optimization model over structured data
  • Good understanding of optimization techniques like MIP, MILP, preferably hands on experience on optimization.
  • Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
  • Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
  • Mentor juniors and other team members and drive client project successCommunicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field;Ā 
  • Strong programming skills in Python and SQL
  • In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
  • Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
  • Hands on code version control , docker based model deployment knowledge fundamentalsĀ 
  • Comfortable with atleast one cloud provider between Azure, GCP or AWS
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.
  • Good To have : Gen AI or Rag or Agentic Ai experience
  • A person with knowledge of Time Series and optimization will be preferred.

Experience: 5-8 years

Overview:Ā We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series/optimization to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.

Key Responsibilities:

  • Develop and implement advanced machine learning models sin client projects
  • Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
  • Train robust machine learning model, time series/Optimization model over structured data
  • Good understanding of optimization techniques like MIP, MILP, preferably hands on experience on optimization.
  • Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
  • Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
  • Mentor juniors and other team members and drive client project successCommunicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field;Ā 
  • Strong programming skills in Python and SQL
  • In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
  • Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
  • Hands on code version control , docker based model deployment knowledge fundamentalsĀ 
  • Comfortable with atleast one cloud provider between Azure, GCP or AWS
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.
  • Good To have : Gen AI or Rag or Agentic Ai experience
  • A person with knowledge of Time Series and optimization will be preferred.

Experience: 5-8 years

Overview:Ā We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series/optimization to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.

Key Responsibilities:

  • Develop and implement advanced machine learning models sin client projects
  • Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
  • Train robust machine learning model, time series/Optimization model over structured data
  • Good understanding of optimization techniques like MIP, MILP, preferably hands on experience on optimization.
  • Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
  • Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
  • Mentor juniors and other team members and drive client project successCommunicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field;Ā 
  • Strong programming skills in Python and SQL
  • In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
  • Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
  • Hands on code version control , docker based model deployment knowledge fundamentalsĀ 
  • Comfortable with atleast one cloud provider between Azure, GCP or AWS
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.
  • Good To have : Gen AI or Rag or Agentic Ai experience
  • A person with knowledge of Time Series and optimization will be preferred.
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Category: Consulting Jobs

Tags: AWS Azure Computer Science Data analysis Docker Economics EDA Engineering Feature engineering GCP Generative AI LSTM Machine Learning Mathematics ML models Model deployment Python RAG SQL Statistics

Region: Asia/Pacific
Country: India

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